The hydrology of the congo river basin: A gis-based hydrological water balance model

Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers

Volumn 342, Issue , 2009, Pages 5864-5879

  Chishugi, J Bahati ^a   Alemaw, B F ^a  

^a UNIVERSITY OF BOTSWANA   (Botswana)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUAL EVAPOTRANSPIRATION; ANNUAL AVERAGE; CLIMATIC REGIONS; EFFECTIVE RAINFALL; EQUATORIAL FORESTS; ERROR MARGINS; HYDROLOGICAL MODELS; HYDROLOGICAL WATER BALANCE; INPUT DATAS; INTERMEDIATE ZONE; MOISTURE CONVERGENCE; RAINFALL PATTERNS; RIVER BASINS; RIVERS AND LAKES; SPATIAL AND TEMPORAL DISTRIBUTION; SPATIAL DISTRIBUTION; STRONG CORRELATION; WATER BALANCE; WATERBODIES;

EVAPOTRANSPIRATION; GEOLOGIC MODELS; GROUNDWATER; HYDRAULIC MODELS; RIVERS; RUNOFF; SIZE DISTRIBUTION; SOIL MOISTURE; WATER SUPPLY;

RAIN;

EID: 70350138317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41036(342)593     Document Type: Conference Paper

References (13)

1. Alemaw, B.F. 2006, A Hybrid Atmospheric and Terrestrial Water Balance Model. A GIS based approach for large drainage basins. Unpublished Research Report. University of Botswana.
2. Alemaw, B.F. and T.R. Chaoka, 2003 A continental scale water balance model: a GIS-approach for the Southern Africa. Physical and Chemistry of the Earth, 28: 957-966
3. Allen R. G., L.S. Pereira, D. Raes and M. Smith, Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage. Paper 56. FAO, Rome, 1998
4. Chow V.T., D.R. Maidment, L.W. Mays, 1988. Applied hydrology, MacGraw-Hill. pp. 572.
5. Eilers, V.H.M., Carter, R.C. and Rushton, K.R. (2007). A single layer soil water balance model for estimating deep drainage (potential recharge): An Application to cropped land in semi-arid North-east Nigeria. Geoderma, 140:119-131
6. FAO (1984). FAO-UNESO soils map of the world revised legend, world soils resources report, series No. 60 Rome
7. ILWIS, The integrated Land and Water Information System.
8. Maathuis, B., 2006, DEM based Hydro-Processing-Introduction to the tools developed, tutorial with exercises (Version 1). International Institute for Geo-information Sciences and Earth Observation (ITC), Enschede, 71 pp
9. Marengo, J.A., 2005, Characteristics and spatio-temporal variability of the Amazon River Basin Water Budget Climate. Dynamics, vol. 24, pp. 11-22
10. Nemani & Running, 1989)
11. Saxton, K.E., Rawls, W.J., Romberger, J.S. and Papendick, R.I. (1986). Estimating generalized Soil-Water Characterstics from Texture. Soil SCI. SOC. AM. J., Vol. 50
12. Thornthwaite, C.W. and Mather, J.R. (1955), The Water Balance. Drexel Inst. Techno. Laboratory of Climatology, USA.
13. Vorosmarty, C.J., Fekete, B.M. and Tucker, B.A. (1998). Global River Discharge Database (RivDis). V. 1.1. http://www-eosdis.ornl.gov (Accessed: June 2007)